Manager Data Analyst - Casablanca
9th arrondissement of Paris, 75009, Paris, France
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Python
- R
- SQL
- Azure
- Tableau
- Airflow
- Flask
- AWS
- Google Cloud (GCP)
- Google Cloud Storage
- BigQuery
Source — Tool mentions in context
- 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data) - 1 or 2 programming languages among SQL, Python and/or R. - 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...)
- 1 or 2 programming languages among SQL, Python and/or R. - 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...) In addition, you have the knowledge in one or more of the following technologies:
- ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) - Web application (R-Shiny, Python Flask) that you have industrialized Ideally you have:
- A minimum of 3 year of work experience in a data-driven working environment - 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data) - 1 or 2 programming languages among SQL, Python and/or R.
In addition, you have the knowledge in one or more of the following technologies: - Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS - You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
- Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...) - ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) - Web application (R-Shiny, Python Flask) that you have industrialized
About LinkedIn Job Wrapping
Artefact is a new generation of data service provider, specialised in data consulting and data-driven digital marketing.
In the employer’s words · Read in context
Job description
Who we are
Artefact is a new generation of data service provider, specialised in data consulting and data-driven digital marketing.
Our purpose?
Every day we boost our clients’ data transformation into business impact across the entire value chain of organisations.
Our strength?
Our data services stand on double expertise: the combination of Artificial Intelligence and the business prowess acquired from our customers around the world, such as AccorHotels, Orange, Carrefour, Engie, Samsung, L'Oréal, Nissan...
Artefact’s success comes from a unique mix of company assets: cutting-edge data technologies, agile methodologies for fast delivery, cohesive teams assembling the finest business consultants, data analysts, data scientists, data engineers, and digital marketing experts.
Artefact is :
- 13 offices in Paris, London, Shanghai, Dubai...
- 900 employees
- 4 practices: Data Consulting, Data Marketing, Activation and Creation
What you will be doing: Key responsibilities
As a Senior Data Analyst, your role will encompass:
- Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
- Extracting valuable insights from our clients’ marketing-related data sources.
- Designing dashboards for marketing decision-making while taking into account the business needs
- Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
- Actively contributing to the expertise level and competencies of the Data & Analytics team
- Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients
Being a great tech role model
- Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
- Researching and developing new technical approaches to address problems efficiently
- Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
- Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
-
Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :
- A minimum of 3 year of work experience in a data-driven working environment
- 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
- 1 or 2 programming languages among SQL, Python and/or R.
- 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...)
In addition, you have the knowledge in one or more of the following technologies:
- Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
- You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
- Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)
- ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)
- Web application (R-Shiny, Python Flask) that you have industrialized
Ideally you have:
- Knowledge of statistics
- Knowledge of machine learning and data engineering
What we are looking for
- A Doer: you get things done and inspire your team to do the same
- An Analyst: you LOVE data and think every company should take their decisions based on facts
- A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
- A Mentor: your clients and colleagues naturally seek you out for advice
- An Adventurer: you’re an entrepreneur constantly looking for business opportunities
Why you should join us
- Artefact is the place to be: come and build the future of marketing
- Progress: every day offers new challenges and new opportunities to learn
- Culture: join the best team you could ever imagine
- Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Come join us!
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
9th arrondissement of Paris, 75009, Paris, France
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 15, 2026
- Recorded sightings
- 165
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.